code: def _get_quantiles_accumulator():
      qcombiner = analyzers.QuantilesCombiner(
          num_quantiles=2,
          epsilon=0.01,
          bucket_numpy_dtype=np.float32,
          has_weights=False,
          output_shape=None,
          include_max_and_min=False,
          feature_shape=[1],
      )
      accumulator = qcombiner.create_accumulator()
      return qcombiner.add_input(
          accumulator, [np.array([1.0, 2.0, 3.0])]
      )
  
file_path: transform/tensorflow_transform/beam/analyzer_cache_test.py
imports: import os
  import apache_beam
  from apache_beam.testing import util
  import numpy
  import tensorflow
  from tensorflow_transform import analyzer_nodes
  from tensorflow_transform import analyzers
  from tensorflow_transform.beam import analyzer_cache
  from tensorflow_transform import test_case
label_desc: Use image node_id 1 for calling a global function with example usage: _get_quantiles_accumulator() and returns: qcombiner